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2106.09683
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PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes
17 June 2021
Peter Grünwald
Thomas Steinke
Lydia Zakynthinou
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Papers citing
"PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes"
26 / 26 papers shown
Title
Generalization Bounds via Conditional
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-Information
Ziqiao Wang
Yongyi Mao
FedML
40
1
0
30 Oct 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
Idan Attias
Gintare Karolina Dziugaite
Mahdi Haghifam
Roi Livni
Daniel M. Roy
25
6
0
14 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
Paul Viallard
Umut Simsekli
Benjamin Guedj
35
3
0
13 Feb 2024
Minimum Description Length and Generalization Guarantees for Representation Learning
Milad Sefidgaran
Abdellatif Zaidi
Piotr Krasnowski
38
7
0
05 Feb 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
55
1
0
08 Nov 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
Ziqiao Wang
Yongyi Mao
22
5
0
31 Oct 2023
An Introduction to the Calibration of Computer Models
Richard D. Wilkinson
Christopher W. Lanyon
24
0
0
13 Oct 2023
Importance-Weighted Offline Learning Done Right
Germano Gabbianelli
Gergely Neu
Matteo Papini
OffRL
14
5
0
27 Sep 2023
Local Risk Bounds for Statistical Aggregation
Jaouad Mourtada
Tomas Vavskevivcius
Nikita Zhivotovskiy
20
1
0
29 Jun 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
26
9
0
21 Jun 2023
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
Gábor Lugosi
Gergely Neu
20
11
0
31 May 2023
Exponential Stochastic Inequality
Peter Grünwald
M. F. Pérez-Ortiz
Zakaria Mhammedi
21
1
0
27 Apr 2023
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization
Peiyuan Zhang
Jiaye Teng
J. Zhang
34
4
0
19 Mar 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang
Yongyi Mao
19
17
0
05 Feb 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
Mahdi Haghifam
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
Daniel M. Roy
Gintare Karolina Dziugaite
22
17
0
27 Dec 2022
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
10
10
0
19 Nov 2022
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making
Tianyu Liu
Jie Lu
Zheng Yan
Guangquan Zhang
36
0
0
16 Oct 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström
G. Durisi
30
22
0
12 Oct 2022
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study
Tom Huix
Szymon Majewski
Alain Durmus
Eric Moulines
Anna Korba
BDL
13
6
0
08 Jul 2022
Fast Rate Generalization Error Bounds: Variations on a Theme
Xuetong Wu
J. Manton
U. Aickelin
Jingge Zhu
22
7
0
06 May 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
Ingvar M. Ziemann
H. Sandberg
Nikolai Matni
16
22
0
16 Feb 2022
Minimax risk classifiers with 0-1 loss
Santiago Mazuelas
Mauricio Romero
Peter Grünwald
19
6
0
17 Jan 2022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A. Banerjee
Tiancong Chen
Xinyan Li
Yingxue Zhou
13
8
0
09 Jan 2022
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
M. Nokleby
Ahmad Beirami
55
1
0
08 Nov 2021
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
34
196
0
21 Oct 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
105
146
0
06 Nov 2019
1